Following my Chapter 1 post “Kicking Off My ML Journey with Aurélien Géron’s Book – Chapter 1: The Machine Learning Landscape”, where I laid the groundwork for understanding what Machine Learning is and the different learning paradigms, I’ve now comp...
La capacité de prédire des valeurs continues est essentielle dans de nombreux domaines : prévisions financières, estimation de prix immobiliers, évaluation de la consommation énergétique, etc. Pour ces tâches, les méthodes linéaires montrent rapideme...
Model Evaluation with MLflow & Dagshub: The Real-World Teenage ML Engineer's Playbook Dagshub: The “GitHub for Data Science” That Actually Gets It Alright, first up-let’s talk about Dagshub. If you’re tired of losing track of your models, datasets, o...
Absolutely! Here’s your Model Trainer documentation, formatted and explained in the exact style and structure you provided for Data Transformation. Overview The Model Trainer stage is responsible for training a machine learning model (ElasticNet) usi...
In today’s fast-paced software development landscape, enterprise applications whether desktop, web, or hybrid are expected to deliver performance, reliability, and continuous updates. But with every new deployment, there’s a risk: what if something b...
Introduction: Hey everyone! 👋I recently completed a hands-on project using Decision Tree Regression, and I was amazed by how simple yet powerful this model is. In this article, I’ll explain what Decision Tree Regression is, why it works so well for...
Introduction: Hello!I recently completed a hands-on project using Support Vector Regression (SVR), one of the coolest and most powerful regression techniques in the ML toolkit. In this post, I’ll walk you through what SVR is, why it’s different from...
Introduction: Hey everyone!I recently completed a project on Polynomial Regression as part of my Machine Learning learning path. This post walks you through what Polynomial Regression is, why we need it, how I implemented it using Python, and key ta...
A Machine Learning Approach using Linear Regression Introduction With the growing digital economy, understanding where to focus — mobile app or website — is a critical question for e-commerce businesses. In this project, I used a Kaggle dataset that...
Till now, things were simple!! All relationships were in straight line, so it was pretty easy to take certain decisions. Later we learned how Multiple Linear Regression (MLR) models relationships where the effect of independent variables is linear. B...
